






import copy
import importlib.metadata
import json
import os
from dataclasses import dataclass
from typing import Any, Dict, Union

from packaging import version

from ..utils import is_torch_available, logging


if is_torch_available():
      import torch


SCREAMING_SNAKE_CASE__		:							List[str] 				=				logging.get_logger(__name__)







@dataclass
class 				UpperCAmelCase_  :




     def __init__(				self	,						_lowerCAmelCase=False	,						_lowerCAmelCase=False	,						_lowerCAmelCase=6.0	,						_lowerCAmelCase=None	,						_lowerCAmelCase=False	,						_lowerCAmelCase=False	,						_lowerCAmelCase=None	,						_lowerCAmelCase="fp4"	,						_lowerCAmelCase=False	,						**_lowerCAmelCase	,						):
          UpperCAmelCase__      :  Optional[int]				      =			load_in_abit
          UpperCAmelCase__      :  List[str]				      =			load_in_abit
          UpperCAmelCase__      :  List[str]				      =			llm_inta_threshold
          UpperCAmelCase__      :  Dict				      =			llm_inta_skip_modules
          UpperCAmelCase__      :  Tuple				      =			llm_inta_enable_fpaa_cpu_offload
          UpperCAmelCase__      :  Union[str, Any]				      =			llm_inta_has_fpaa_weight
          UpperCAmelCase__      :  Optional[int]				      =			bnb_abit_quant_type
          UpperCAmelCase__      :  Union[str, Any]				      =			bnb_abit_use_double_quant

          if bnb_abit_compute_dtype is None:
               UpperCAmelCase__      :  int				      =			torch.floataa
          elif isinstance(UpperCamelCase__	,						UpperCamelCase__		):
               UpperCAmelCase__      :  List[Any]				      =			getattr(UpperCamelCase__	,						UpperCamelCase__		)
          elif isinstance(UpperCamelCase__	,						torch.dtype		):
               UpperCAmelCase__      :  Dict				      =			bnb_abit_compute_dtype
          else:
               raise ValueError("""bnb_4bit_compute_dtype must be a string or a torch.dtype"""		)

          self.post_init()




     def   __UpperCAmelCase  (				self		):


          if not isinstance(self.llm_inta_threshold	,						UpperCamelCase__		):
               raise ValueError("""llm_int8_threshold must be a float"""		)

          if self.llm_inta_skip_modules is not None and not isinstance(self.llm_inta_skip_modules	,						UpperCamelCase__		):
               raise ValueError("""llm_int8_skip_modules must be a list of strings"""		)
          if not isinstance(self.llm_inta_enable_fpaa_cpu_offload	,						UpperCamelCase__		):
               raise ValueError("""llm_int8_enable_fp32_cpu_offload must be a boolean"""		)

          if not isinstance(self.llm_inta_has_fpaa_weight	,						UpperCamelCase__		):
               raise ValueError("""llm_int8_has_fp16_weight must be a boolean"""		)

          if self.bnb_abit_compute_dtype is not None and not isinstance(self.bnb_abit_compute_dtype	,						torch.dtype		):
               raise ValueError("""bnb_4bit_compute_dtype must be torch.dtype"""		)

          if not isinstance(self.bnb_abit_quant_type	,						UpperCamelCase__		):
               raise ValueError("""bnb_4bit_quant_type must be a string"""		)

          if not isinstance(self.bnb_abit_use_double_quant	,						UpperCamelCase__		):
               raise ValueError("""bnb_4bit_use_double_quant must be a boolean"""		)

          if self.load_in_abit and not version.parse(importlib.metadata.version("""bitsandbytes"""		)		) >= version.parse(
              """0.39.0"""		):
               raise ValueError(
                   """4 bit quantization requires bitsandbytes>=0.39.0 - please upgrade your bitsandbytes version"""		)




     def   __UpperCAmelCase  (				self		):
          return self.load_in_abit or self.load_in_abit




     def   __UpperCAmelCase  (				self		):


          if self.load_in_abit:
               return "llm_int8"
          elif self.load_in_abit and self.bnb_abit_quant_type == "fp4":
               return "fp4"
          elif self.load_in_abit and self.bnb_abit_quant_type == "nf4":
               return "nf4"
          else:
               return None




     @classmethod
     def   __UpperCAmelCase  (				cls	,						_lowerCAmelCase	,						_lowerCAmelCase	,						**_lowerCAmelCase		):
          UpperCAmelCase__      :  List[Any]				      =			cls(**UpperCamelCase__		)

          UpperCAmelCase__      :  int				      =			[]
          for key, value in kwargs.items():
               if hasattr(UpperCamelCase__	,						UpperCamelCase__		):
                    setattr(UpperCamelCase__	,						UpperCamelCase__	,						UpperCamelCase__		)
                    to_remove.append(UpperCamelCase__		)
          for key in to_remove:
               kwargs.pop(UpperCamelCase__	,						UpperCamelCase__		)

          if return_unused_kwargs:
               return config, kwargs
          else:
               return config




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase		):


          with open(UpperCamelCase__	,						"""w"""	,						encoding="""utf-8"""		) as writer:
               UpperCAmelCase__      :  Tuple				      =			self.to_dict()
               UpperCAmelCase__      :  Union[str, Any]				      =			json.dumps(UpperCamelCase__	,						indent=2	,						sort_keys=UpperCamelCase__		) + """\n"""

               writer.write(UpperCamelCase__		)




     def   __UpperCAmelCase  (				self		):
          UpperCAmelCase__      :  Optional[int]				      =			copy.deepcopy(self.__dict__		)
          UpperCAmelCase__      :  Any				      =			str(output["""bnb_4bit_compute_dtype"""]		).split("""."""		)[1]

          return output




     def __repr__(				self		):
          return f"{self.__class__.__name__} {self.to_json_string()}"




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase = True		):


          if use_diff is True:
               UpperCAmelCase__      :  Tuple				      =			self.to_diff_dict()
          else:
               UpperCAmelCase__      :  Union[str, Any]				      =			self.to_dict()
          return json.dumps(UpperCamelCase__	,						indent=2	,						sort_keys=UpperCamelCase__		) + "\n"




     def   __UpperCAmelCase  (				self		):
          UpperCAmelCase__      :  Dict				      =			self.to_dict()

          # get the default config dict
          UpperCAmelCase__      :  Optional[int]				      =			BitsAndBytesConfig().to_dict()

          UpperCAmelCase__      :  Tuple				      =			{}

          # only serialize values that differ from the default config
          for key, value in config_dict.items():
               if value != default_config_dict[key]:
                    UpperCAmelCase__      :  Union[str, Any]				      =			value

          return serializable_config_dict














'''simple docstring'''







def       __UpperCamelCase					(      lowercase_       :  int = 1_000_000   ):
       """simple docstring"""




       a_						     =			set(range(3   ,       lowercase_   ,       2   )   )
       primes.add(2   )
       for p in range(3   ,       lowercase_   ,       2   ):
              if p not in primes:
                     continue
              primes.difference_update(set(range(p * p   ,       lowercase_   ,       lowercase_   )   )   )

       a_						     =			[float(lowercase_   ) for n in range(limit + 1   )]

       for p in primes:
              for n in range(lowercase_   ,       limit + 1   ,       lowercase_   ):
                     phi[n] *= 1 - 1 / p

       return int(sum(phi[2:]   )   )


if __name__ == "__main__":
  print(f"""{solution() = }""")




